Predictive Wi-Fi Data Offloading Systems and Methods

2. The method of claim 1, wherein the performance data is collected from vehicles connected to the plurality of access points.

3. The method of claim 1, wherein the performance data is collected from the plurality of access points.

4. The method of claim 1, wherein the performance data comprises one or more of throughput, signal strength, a Wi-Fi channel, latency, capacity, and a price for each access point of the plurality of access points.

5. The method of claim 1, wherein the mapping the access points is based on geo-hashing.

6. The method of claim 1, wherein the mapping the access points is based on matching to a map of the vehicle or of a remote transportation system.

7. The method of claim 1, wherein the selecting the set of access points is based on a computed score computed from the performance data.

8. The method of claim 7, wherein the computed score is based on a cost to switch to the access point.

9. The method of claim 1, wherein the selecting the set of access points is based on a weighted graph.

10. The method of claim 1, wherein the selecting the set of access points is based on reinforcement learning.

11. The method of claim 1, wherein the predicting the scanning channel is based on a distance the current location of the vehicle is away from the access point.

13. The system of claim 12, wherein the performance data is collected from vehicles connected to the plurality of access points.

14. The system of claim 12, wherein the performance data is collected from the plurality of access points.

15. The system of claim 12, wherein the performance data comprises one or more of throughput, signal strength, a Wi-Fi channel, latency, capacity, and a price for each access point of the plurality of access points.

16. The system of claim 12, wherein the second non-transitory computer module is configured to map the access points based on at least one of geo-hashing and matching to a map of the vehicle or of a remote transportation system.

17. The system of claim 12, wherein the third non-transitory computer module is configured to select the set of access points based on a computed score computed from the performance data, wherein the computed score is based on a cost to switch to the access point.

18. The system of claim 12, wherein the third non-transitory computer module is configured to select the set of access points based on at least one of a weighted graph and reinforcement learning.